{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 9)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pregnants                       111\n",
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "Diabetes_pedigree_function        0\n",
      "Age                               0\n",
      "Target                          500\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print((train == 0).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x258bdb01e80>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'pregnants',hue = 'Target',data = train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['Plasma_glucose_concentration'], kde = False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Triceps_skin_fold_thickness')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Triceps_skin_fold_thickness', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Triceps_skin_fold_thickness', fontsize=12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAELCAYAAADDZxFQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAF9hJREFUeJzt3XuwXWWd5vHv04BgqyO3Ax0TMKChW7QHkAyXdqZbUUdk7AZnYARvlIWm7ULFVqcFnSqxa+iRGhXF6cKOgkZHRbw1GYYGkYuWMwomGrmISAQG0kQIw8VbNW3gN3/s98A2rpyzE7POPjnn+6natdd617vW/p1VOzysd112qgpJkjb1O+MuQJI0OxkQkqROBoQkqZMBIUnqZEBIkjoZEJKkTgaEJKlT7wGRZIck30tySZvfL8m1SW5N8vkkT2jtO7f5tW354r5rkyRt3kwcQZwG3Dw0fzZwTlUtAR4ATmntpwAPVNUzgXNaP0nSmKTPO6mTLAJWAGcBbwP+FNgA/F5VbUxyJHBmVb0kyeVt+ltJdgR+AkzUFAXuueeetXjx4t7ql6S5aPXq1fdV1cR0/XbsuY4PAX8FPKXN7wE8WFUb2/w6YGGbXgjcBdDC46HW/77NbXzx4sWsWrWqj7olac5K8n9H6dfbEFOSlwH3VtXq4eaOrjXCsuHtLkuyKsmqDRs2bINKJUld+jwH8Tzgz5LcAVwIHMXgiGLXNoQEsAi4u02vA/YBaMufCty/6UaranlVLa2qpRMT0x4hSZK2Um8BUVVnVNWiqloMnAhcVVWvAq4Gjm/dTgYubtMr2zxt+VVTnX+QJPVrHPdBvBN4W5K1DM4xnN/azwf2aO1vA04fQ22SpKbvk9QAVNU1wDVt+jbgsI4+/wScMBP1SJKm553UkqROBoQkqZMBIUnqZEBIkjrNyEnq2eiz1945Ur9XHr5vz5VI0uzkEYQkqZMBIUnqZEBIkjoZEJKkTgaEJKmTASFJ6mRASJI6GRCSpE4GhCSpkwEhSepkQEiSOhkQkqROBoQkqVNvAZFklyTXJfl+kpuSvLe1fzLJ7UnWtNfBrT1Jzk2yNsn1SZ7bV22SpOn1+bjvh4GjqurnSXYCvpnkH9qy/1RVX9yk/0uBJe11OHBee5ckjUFvRxA18PM2u1N71RSrHAt8qq33bWDXJAv6qk+SNLVez0Ek2SHJGuBe4IqqurYtOqsNI52TZOfWthC4a2j1da1NkjQGvQZEVT1SVQcDi4DDkjwHOAP4A+BfAbsD72zd07WJTRuSLEuyKsmqDRs29FS5JGlGrmKqqgeBa4Cjq2p9G0Z6GPgEcFjrtg7YZ2i1RcDdHdtaXlVLq2rpxMREz5VL0vzV51VME0l2bdNPBF4E/HDyvEKSAMcBN7ZVVgKvbVczHQE8VFXr+6pPkjS1Pq9iWgCsSLIDgyC6qKouSXJVkgkGQ0prgDe2/pcCxwBrgV8Cr+uxNknSNHoLiKq6Hjiko/2ozfQv4NS+6pEkbRnvpJYkdTIgJEmdDAhJUicDQpLUyYCQJHUyICRJnQwISVInA0KS1MmAkCR1MiAkSZ0MCElSJwNCktTJgJAkdTIgJEmdDAhJUicDQpLUyYCQJHUyICRJnXoLiCS7JLkuyfeT3JTkva19vyTXJrk1yeeTPKG179zm17bli/uqTZI0vT6PIB4Gjqqqg4CDgaOTHAGcDZxTVUuAB4BTWv9TgAeq6pnAOa2fJGlMeguIGvh5m92pvQo4Cvhia18BHNemj23ztOUvTJK+6pMkTa3XcxBJdkiyBrgXuAL4MfBgVW1sXdYBC9v0QuAugLb8IWCPPuuTJG1erwFRVY9U1cHAIuAw4Fld3dp719FCbdqQZFmSVUlWbdiwYdsVK0n6NTNyFVNVPQhcAxwB7Jpkx7ZoEXB3m14H7APQlj8VuL9jW8uramlVLZ2YmOi7dEmat/q8imkiya5t+onAi4CbgauB41u3k4GL2/TKNk9bflVV/cYRhCRpZuw4fZettgBYkWQHBkF0UVVdkuQHwIVJ/gvwPeD81v984NNJ1jI4cjixx9okSdPoLSCq6nrgkI722xicj9i0/Z+AE/qqR5K0ZbyTWpLUyYCQJHUyICRJnQwISVInA0KS1MmAkCR1MiAkSZ0MCElSJwNCktTJgJAkdTIgJEmdDAhJUicDQpLUyYCQJHUyICRJnQwISVInA0KS1MmAkCR16i0gkuyT5OokNye5Kclprf3MJP+YZE17HTO0zhlJ1ia5JclL+qpNkjS93n6TGtgIvL2qvpvkKcDqJFe0ZedU1fuHOyc5EDgReDbwNOBrSQ6oqkd6rFGStBm9HUFU1fqq+m6b/hlwM7BwilWOBS6sqoer6nZgLXBYX/VJkqY2I+cgkiwGDgGubU1vSnJ9kguS7NbaFgJ3Da22jqkDRZLUo94DIsmTgS8Bb62qnwLnAc8ADgbWAx+Y7NqxenVsb1mSVUlWbdiwoaeqJUm9BkSSnRiEw2eq6ssAVXVPVT1SVY8CH+PxYaR1wD5Dqy8C7t50m1W1vKqWVtXSiYmJPsuXpHmtz6uYApwP3FxVHxxqXzDU7eXAjW16JXBikp2T7AcsAa7rqz5J0tSmvYopye5Vdf9WbPt5wGuAG5KsaW3vAk5KcjCD4aM7gD8HqKqbklwE/IDBFVCnegWTJI3PKJe5Xtv+A/8J4B+q6jfOC3Spqm/SfV7h0inWOQs4a5TtS5L6NcoQ0wHAcgZHA2uT/E2SA/otS5I0btMGRA1cUVUnAa8HTgauS/L1JEf2XqEkaSxGOQexB/BqBkcQ9wBvZnBC+WDgC8B+fRYoSRqPUc5BfAv4NHBcVa0bal+V5KP9lCVJGrdRAuL3N3diuqrO3sb1SJJmiVFOUn81ya6TM0l2S3J5jzVJkmaBUQJioqoenJypqgeAvforSZI0G4wSEI8k2XdyJsnT6XhGkiRpbhnlHMS7gW8m+Xqb/2NgWX8lSZJmg2kDoqouS/Jc4AgGd0b/ZVXd13tlkqSxGvUX5XYG7m/9D0xCVX2jv7IkSeM2yo1yZwOvAG4CHm3NBRgQkjSHjXIEcRyDeyEe7rsYSdLsMcpVTLcBO/VdiCRpdhnlCOKXwJokVwKPHUVU1Vt6q0qSNHajBMTK9pIkzSOjXOa6IskTgX2r6pYZqEmSNAtMew4iyZ8Ca4DL2vzBSTyikKQ5bpST1GcChwEPAlTVGkb4DYgk+yS5OsnNSW5Kclpr3z3JFUlube+7tfYkOTfJ2iTXt5vzJEljMkpAbKyqhzZpG+VZTBuBt1fVsxjchX1qkgOB04Erq2oJcGWbB3gpsKS9lgHnjfAZkqSejBIQNyZ5JbBDkiVJPgL8n+lWqqr1VfXdNv0z4GZgIXAssKJ1W8HgPgta+6faT5x+G9g1yYIt+3MkSdvKKAHxZuDZDC5x/RzwU+CtW/IhSRYDhwDXAntX1XoYhAiPPzp8IXDX0GrrWpskaQxGuYrplwye6PrurfmAJE8GvgS8tap+mmSzXbs+vmN7y2hPk913331/YwVJ0rYxyrOYrqbjP9RVddQI6+7EIBw+U1Vfbs33JFlQVevbENK9rX0dsM/Q6ouAuzs+dzmwHGDp0qX+LoUk9WSUG+XeMTS9C/AfGJyAnlIGhwrnAzdX1QeHFq0ETgbe194vHmp/U5ILgcOBhyaHoiRJM2+UIabVmzT976EfD5rK84DXADckWdPa3sUgGC5KcgpwJ3BCW3YpcAywlsHjPV43wmdIknoyyhDT7kOzvwMcCvzedOtV1TfpPq8A8MKO/gWcOt12JUkzY5QhptUMzkGEwdDS7cApfRYlSRq/UYaYpr1rWpI094wyxPTvp1o+dHWSJGkOGWWI6RTgj4Cr2vwLgGuAhxgMPRkQkjQHjRIQBRw4eclpu3fhb6vKq4wkaQ4b5VEbize5H+Ee4ICe6pEkzRKjHEFck+RyBs9hKuBE4Opeq5Ikjd0oVzG9KcnLgT9uTcur6iv9liVJGrdRjiAAvgv8rKq+luR3kzylPcJbkjRHjfKTo28Avgj8XWtaCPx9n0VJksZvlJPUpzJ4rtJPAarqVh7/DQdJ0hw1SkA8XFX/PDmTZEdG+8lRSdJ2bJSA+HqSdwFPTPJi4AvA/+y3LEnSuI0SEKcDG4AbgD9n8Fju/9xnUZKk8ZvyKqYkOwArqurVwMdmpiRJ0mww5RFEVT0CTCR5wgzVI0maJUa5D+IOBr8itxL4xWTjJj8jKkmaYzZ7BJHk023yFcAlre9Thl6SpDlsqiOIQ5M8ncHvRn9kSzec5ALgZcC9VfWc1nYm8AYGJ70B3lVVl7ZlZzB4tPgjwFuq6vIt/UxJ0rYzVUB8FLgM2A9YNdQeBvdB7D/Ntj8J/HfgU5u0n1NV7x9uSHIgg4cAPht4GvC1JAe0cyCSpDHY7BBTVZ1bVc8CPlFV+w+99quq6cKBqvoGcP+IdRwLXFhVD1fV7cBa4LAR15Uk9WDa+yCq6i+28We+Kcn1SS5IsltrWwjcNdRnXWuTJI3JKDfKbUvnAc8ADgbWAx9o7eno2/k4jyTLkqxKsmrDhg1dXSRJ28CMBkRV3VNVj1TVowxuvJscRloH7DPUdRFw92a2sbyqllbV0omJiX4LlqR5bEYDov2e9aSXAze26ZXAiUl2TrIfsAS4biZrkyT9ulF/MGiLJfkc8HxgzyTrgPcAz09yMIPhozsYPNuJqropyUXAD4CNwKlewSRJ49VbQFTVSR3N50/R/yzgrL7qkSRtmZk+SS1J2k4YEJKkTgaEJKmTASFJ6mRASJI6GRCSpE4GhCSpkwEhSepkQEiSOhkQkqROBoQkqZMBIUnqZEBIkjoZEJKkTgaEJKmTASFJ6mRASJI6GRCSpE69BUSSC5Lcm+TGobbdk1yR5Nb2vltrT5Jzk6xNcn2S5/ZVlyRpNH0eQXwSOHqTttOBK6tqCXBlmwd4KbCkvZYB5/VYlyRpBL0FRFV9A7h/k+ZjgRVtegVw3FD7p2rg28CuSRb0VZskaXozfQ5i76paD9De92rtC4G7hvqta22SpDGZLSep09FWnR2TZUlWJVm1YcOGnsuSpPlrpgPinsmho/Z+b2tfB+wz1G8RcHfXBqpqeVUtraqlExMTvRYrSfPZTAfESuDkNn0ycPFQ+2vb1UxHAA9NDkVJksZjx742nORzwPOBPZOsA94DvA+4KMkpwJ3ACa37pcAxwFrgl8Dr+qpLkjSa3gKiqk7azKIXdvQt4NS+apEkbbnZcpJakjTLGBCSpE4GhCSpkwEhSepkQEiSOhkQkqROBoQkqZMBIUnqZEBIkjoZEJKkTgaEJKmTASFJ6mRASJI6GRCSpE4GhCSpkwEhSerU2w8Gqdtnr71zpH6vPHzfniuRpKl5BCFJ6jSWI4gkdwA/Ax4BNlbV0iS7A58HFgN3AP+xqh4YR31bY9QjA0naXoxziOkFVXXf0PzpwJVV9b4kp7f5d46ntPFzKErSuM2mIaZjgRVtegVw3BhrkaR5b1wBUcBXk6xOsqy17V1V6wHa+15jqk2SxPiGmJ5XVXcn2Qu4IskPR12xBcoygH33dXhFkvoyliOIqrq7vd8LfAU4DLgnyQKA9n7vZtZdXlVLq2rpxMTETJUsSfPOjAdEkiclecrkNPBvgRuBlcDJrdvJwMUzXZsk6XHjGGLaG/hKksnP/2xVXZbkO8BFSU4B7gROGENtkqRmxgOiqm4DDupo/3/AC2e6HklSNx+1MQ94T4WkrWFATMM7pCXNVwbEds4Ak9SX2XQntSRpFjEgJEmdDAhJUicDQpLUyYCQJHUyICRJnbzMVY/xhjpJwzyCkCR1MiAkSZ0MCElSJwNCktTJk9TaYp7MluYHA0JjN0rgGDbSzHOISZLUySMI9cZHkUvbt1kXEEmOBj4M7AB8vKreN+aSNAt43kOaebMqIJLsAPwt8GJgHfCdJCur6gfjrUyaOYahZotZFRDAYcDaqroNIMmFwLGAAaGRjGtYaxz/sd7Wf6uBo03NtoBYCNw1NL8OOHxMtUgjm0/nW8Zx1dm4jqrm09/aZbYFRDra6tc6JMuAZW3250lu2crP2hO4byvXnQ/cP1Obc/vnVdt2W2PZP9vyb+j5M3/r/fNb/q1PH6XTbAuIdcA+Q/OLgLuHO1TVcmD5b/tBSVZV1dLfdjtzlftnau6fqbl/pra97J/Zdh/Ed4AlSfZL8gTgRGDlmGuSpHlpVh1BVNXGJG8CLmdwmesFVXXTmMuSpHlpVgUEQFVdClw6Ax/1Ww9TzXHun6m5f6bm/pnadrF/UlXT95IkzTuz7RyEJGmWmJcBkeToJLckWZvk9HHXMw5J9klydZKbk9yU5LTWvnuSK5Lc2t53a+1Jcm7bZ9cnee54/4L+JdkhyfeSXNLm90tybds3n28XUpBk5za/ti1fPM66Z0qSXZN8MckP2/foSL8/A0n+sv27ujHJ55Lssj1+f+ZdQAw9zuOlwIHASUkOHG9VY7EReHtVPQs4Aji17YfTgSuraglwZZuHwf5a0l7LgPNmvuQZdxpw89D82cA5bd88AJzS2k8BHqiqZwLntH7zwYeBy6rqD4CDGOyref/9SbIQeAuwtKqew+CCmxPZHr8/VTWvXsCRwOVD82cAZ4y7rnG/gIsZPAPrFmBBa1sA3NKm/w44aaj/Y/3m4ovBPThXAkcBlzC4ifM+YMdNv0cMrro7sk3v2Ppl3H9Dz/vnXwC3b/p3+v0pePyJELu378MlwEu2x+/PvDuCoPtxHgvHVMus0A5pDwGuBfauqvUA7X2v1m2+7bcPAX8FPNrm9wAerKqNbX74739s37TlD7X+c9n+wAbgE20Y7uNJnoTfH6rqH4H3A3cC6xl8H1azHX5/5mNATPs4j/kkyZOBLwFvraqfTtW1o21O7rckLwPurarVw80dXWuEZXPVjsBzgfOq6hDgFzw+nNRl3uyjdt7lWGA/4GnAkxgMsW1q1n9/5mNATPs4j/kiyU4MwuEzVfXl1nxPkgVt+QLg3tY+n/bb84A/S3IHcCGDYaYPAbsmmbx3aPjvf2zftOVPBe6fyYLHYB2wrqqubfNfZBAYfn/gRcDtVbWhqn4FfBn4I7bD7898DAgf58HgqhLgfODmqvrg0KKVwMlt+mQG5yYm21/brkY5AnhocihhrqmqM6pqUVUtZvD9uKqqXgVcDRzfum26byb32fGt/6z4P8C+VNVPgLuS/H5reiGDx/LP++8Pg6GlI5L8bvt3Nrlvtr/vz7hPgozpJNIxwI+AHwPvHnc9Y9oH/5rBYez1wJr2OobB2OeVwK3tfffWPwyu/voxcAODKzTG/nfMwH56PnBJm94fuA5YC3wB2Lm179Lm17bl+4+77hnaNwcDq9p36O+B3fz+PLZv3gv8ELgR+DSw8/b4/fFOaklSp/k4xCRJGoEBIUnqZEBIkjoZEJKkTgaEJKmTASFJ6mRASD1K8sYkr93G2/xkkuPb9Mfn6dOINQNm3U+OSuOQZMd6/EFq20xVfXRbb3OT7b++z+1rfvMIQnNKkicl+V9Jvt9+rOUVSQ5N8vUkq5NcPvSsoGuS/E2SrwOnDf+feVv+8/b+/Lb+RUl+lOR9SV6V5LokNyR5xhT1nJnkHUOfd3Zb70dJ/k1rf3ZrW9N+TGdJksVJbhzazjuSnNmx/WuSLJ2sN8lZ7W//dpK9t81e1XxlQGiuORq4u6oOqsGPtVwGfAQ4vqoOBS4Azhrqv2tV/UlVfWCa7R7E4AeE/hB4DXBAVR0GfBx48xbUt2Nb763Ae1rbG4EPV9XBwFIGD2/bGk8Cvl1VBwHfAN6wlduRAIeYNPfcALw/ydkMfqjlAeA5wBWD56axA4Nn9E/6/Ijb/U61h8sl+THw1aHPe8EW1Df51NzVwOI2/S3g3UkWAV+uqltbrVvqnxn8zZPbf/HWbESaZEBoTqmqHyU5lMGDB/8rcAVwU1UduZlVfjE0vZF2VN2ewvmEoWUPD00/OjT/KFv272hyvUcm16uqzya5Fvh3wOVJXs/gYZLDR/i7jLDtX9XjD1d7bPvS1nKISXNKkqcBv6yq/8HgV70OByaSHNmW75Tk2ZtZ/Q7g0DZ9LLBTz+XSatofuK2qzmXw6Od/CdwD7JVkjyQ7Ay+biVqkYf4fhuaaPwT+W5JHgV8Bf8HgyODcJE9l8J3/EHBTx7ofAy5Och2DR1X/oqNPH14BvDrJr4CfAH9dVb9K8tcMfgb2dgaPjpZmlI/7liR1cohJktTJISZpG0jybuCETZq/UFVndfWXtgcOMUmSOjnEJEnqZEBIkjoZEJKkTgaEJKmTASFJ6vT/AYWu4nuvYW3ZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['serum_insulin'], kde = False)\n",
    "plt.xlabel('serum_insulin')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'serum_insulin')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x=train.Target, y=train.serum_insulin, data=train, hue=train.Target)\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('serum_insulin', fontsize=12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x258c1811668>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI', 'Target'])['BMI'].count().unstack('Target').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x258c1042b70>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "\n",
    "sns.heatmap(data_corr,annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in train.columns:\n",
    "    sns.distplot(train[feature],kde = False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
